Shrinked

Shrinked was created by two tech enthusiasts, Ivan & Artyom, who recognized that context is the key to truly understanding content. This project transforms spoken words into structured, context-rich data. It's a new way to know who said what, when, and in what context --- unlike vague AI summaries, with privacy and attribution at its core. We believe that preserving and structuring context is crucial for: Enabling more accurate and insightful analysis of complex audio and video content Empowering content creators to maintain control over how their spoken words are used and interpreted Facilitating more effective knowledge sharing and discovery from multimedia sources Enhancing the capabilities of AI systems by providing them with richer, more contextual data from spoken content By converting complex audio and video media into structured data, we're not just summarizing content – we're creating a foundation for deeper understanding and more powerful applications of knowledge derived from spoken words.